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Onebrief · 1 month ago

Product Manager, Data Science and Internal Tools

United States

Full-time

Remote

Mid, Senior Level

$180K/yr - $230K/yr

4+ years exp

Onebrief is an all-remote company that specializes in AI-powered workflow software for military staffs. The Data Science and Internal Tools Product Manager will shape product initiatives that empower internal teams and leverage data to drive insights across the organization, working closely with various teams to ensure successful project execution.

Information TechnologyMilitaryProductivity ToolsSoftware

Responsibilities

Shape internal product initiatives: Define and scope projects that improve internal workflows, build data infrastructure, and enable data-driven decision making across the organization

Drive data science initiatives: Partner with data scientists and engineers to translate business questions into analytical solutions, build experimentation frameworks, and develop tools that surface insights to stakeholders

Build internal tools: Lead the development of tools that multiply force for our engineering, product, customer relations, sales, and operations teams—from deployment dashboards to workflow automation

Enable cross-functional teams: Work closely with teams across Onebrief to understand pain points, prioritize high-impact initiatives, and ensure solutions are adopted and provide measurable value

Establish data infrastructure: Define requirements for data pipelines, analytics platforms, and reporting systems that enable the company to operate with greater visibility and speed

Qualification

Data systemsSQLAnalytics toolsInternal toolsData visualizationExperimentation frameworksStatistical analysisDesign thinkingCommunication skillsProject management

Required

4+ years building software products, with significant experience in data, analytics, internal tools, or platform products

Strong technical fluency with data systems, SQL, and analytics tools—you should be comfortable exploring data and validating hypotheses independently

Experience building internal tools or platforms that improved operational efficiency or enabled data-driven decision making

Proven ability to work effectively with data scientists, engineers, and business stakeholders, leading with context and seeking pragmatic solutions

Natural inclination to apply design thinking to problem solving—understanding users (internal stakeholders), challenging assumptions, and creating innovative solutions